tbuckley/cabot-search huggingface dataset:
Association of Major Disease Outbreaks With Adolescent and Youth Mental Health in Low- and Middle-Income Countries
Authors: Manasi Kumar, Hossein Akbarialiabad, Mohsen Farjoud Kouhanjani, Sarah Kiburi, Pallavi Shidhaye, Mohammad Hossein Taghrir, Rahul Shidhaye
Journal: JAMA Psychiatry (2022)

Adolescents and young people have been historically understudied populations, and previous studies indicate that during epidemics, these populations, especially in low- and middle-income countries (LMICs), are at high risk of developing mental disturbances.To identify the existing evidence regarding the association of mental health with outbreaks of the influenza A (H1N1), Zika, Ebola, and SARS-CoV-2 virus in exposed youth and adolescents in LMICs.Across 6 databases (Embase, Cochrane Library, PubMed, PsycINFO, Scopus, and Web of Science), the mental health outcomes of adolescents and youth (aged 10-24 years) associated with 4 major pandemic outbreaks from January 2009 to January 2021 in LMICs were reviewed. A group of 3 authors at each stage carried out the screening, selection, and quality assessment using Joanna Briggs Institute checklists. The social determinants of adolescent well-being framework was used as a guide to organizing the review.A total of 57 studies fulfilled the search criteria, 55 related to the SARS-CoV-2 (COVID-19) pandemic and 2 covered the H1N1 influenza epidemics. There were no studies associated with Zika or Ebola outbreaks that met screening criteria. The studies reported high rates of anxiety and depressive symptoms among adolescents, including posttraumatic stress disorder, general stress, and health-related anxiety. Potential risk factors associated with poor mental health outcomes included female sex; home residence in areas with strict lockdown limitations on social and physical movement; reduced physical activity; poor parental, family, or social support; previous exposure to COVID-19 infection; or being part of an already vulnerable group (eg, previous psychiatric conditions, childhood trauma, or HIV infection).Results of this systematic scoping review suggest that the COVID-19 pandemic and H1N1 epidemic were associated with adverse mental health among adolescents and youth from LMICs. Vulnerable youth and adolescents may be at higher risk of developing mental health-related complications, requiring more responsive interventions and further research. Geographically localized disease outbreaks such as Ebola, Zika, and H1N1 influenza are highly understudied and warrant future investigation.
Anakinra-Associated Amyloidosis
Authors: Sara Alehashemi, Surendra Dasari, Adriana A. de Jesus, Edward W. Cowen, Chia-Chia Richard Lee, Raphaela Goldbach-Mansky, Ellen D. McPhail
Journal: JAMA Dermatology (2022)

This case report describes 2 patients with iatrogenic amyloidosis secondary to subcutaneous injections of anakinra to manage neonatal-onset multisystem inflammatory disease.
Expansion of the Veterans Health Administration Network and Surgical Outcomes
Authors: Laura A. Graham, Lena Schoemaker, Liam Rose, Arden M. Morris, Marion Aouad, Todd H. Wagner
Journal: JAMA Surgery (2022)

The US Department of Veterans Affairs (VA) Veterans Choice Program (VCP) expanded health care access to community settings outside the VA for eligible patients. Little is known about the effect of VCP on access to surgery and postoperative outcomes. Since its initiation, care coordination issues, which are often associated with adverse postoperative outcomes, have been reported. Research findings on the association of VCP and postoperative outcomes are limited to only a few select procedures and have been mixed, potentially due to bias from unmeasured confounding.To investigate the association of the VCP with access to surgery and postoperative outcomes using a nonrandomized controlled regression discontinuity design (RDD) to reduce the impact of unmeasured confounders.This was a nonrandomized RDD study of the Veterans Health Administration (VHA). Participants included veterans enrolled in the VHA who required surgery between October 1, 2014, and June 1, 2019.The VCP, which expanded access to VA-paid community care for eligible veterans living 40 miles or more from their closest VA hospital.Postoperative emergency department visits, inpatient readmissions, and mortality at 30 and 90 days.A total of 615 473 unique surgical procedures among 498 427 patients (mean [SD] age, 63.0 [12.9] years; 450 366 male [90.4%]) were identified. Overall, 94 783 procedures (15.4%) were paid by the VHA, and the proportion of VHA-paid procedures varied by procedure type. Patients who underwent VA-paid procedures were more likely to be women (9209 [12.7%] vs men, 38 771 [9.1%]), White race (VA paid, 54 544 [74.4%] vs VA provided, 310 077 [73.0%]), and younger than 65 years (VA paid, 36 054 [49.1%] vs 229 411 [46.0%] VA provided), with a significantly lower comorbidity burden (mean [SD], 1.8 [2.2] vs 2.6 [2.7]). The nonrandomized RDD revealed that VCP was associated with a slight increase of 0.03 in the proportion of VA-paid surgical procedures among eligible veterans (95% CI, 0.01-0.05; P = .01). However, there was no difference in postoperative mortality, readmissions, or emergency department visits.Expanded access to health care in the VHA was associated with a shift in the performance of surgical procedures in the private sector but had no measurable association with surgical outcomes. These findings may assuage concerns of worsened patient outcomes resulting from care coordination issues when care is expanded outside of a single health care system, although it remains unclear whether these additional procedures were appropriate or improved patient outcomes.
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Journal: JAMA Cardiology (2022)

Hasan K. Siddiqi, MD, MSCR; Manickavasagar Vinayagamoorthy, PhD; Baris Gencer, MD; Chee Ng, MD; Julie Pester, BA; Nancy R. Cook, ScD; I-Min Lee, MBBS, ScD; Julie Buring, ScD; JoAnn E. Manson, MD, DrPH; Christine M. Albert, MD, MPH
Diagnostic Accuracy of Fine-Needle Biopsy in the Detection of Thyroid Malignancy
Authors: Vivian Hsiao, Elian Massoud, Catherine Jensen, Yanchen Zhang, Bret M. Hanlon, Mary Hitchcock, Natalia Arroyo, Alexander S. Chiu, Sara Fernandes-Taylor, Oguzhan Alagoz, Kaitlin Sundling, Virginia LiVolsi, David O. Francis
Journal: JAMA Surgery (2022)

Fine-needle biopsy (FNB) became a critical part of thyroid nodule evaluation in the 1970s. It is not clear how diagnostic accuracy of FNB has changed over time.To conduct a systematic review and meta-analysis estimating the accuracy of thyroid FNB for diagnosis of malignancy in adults with a newly diagnosed thyroid nodule and to characterize changes in accuracy over time.PubMed, SCOPUS, and Cochrane Central Register of Controlled Trials were searched from 1975 to 2020 using search terms related to FNB accuracy in the thyroid.English-language reports of cohort studies or randomized trials of adult patients undergoing thyroid FNB with sample size of 20 or greater and using a reference standard of surgical histopathology or clinical follow-up were included. Articles that examined only patients with known thyroid disease or focused on accuracy of novel adjuncts, such as molecular tests, were excluded. Two investigators screened each article and resolved conflicts by consensus. A total of 36 of 1023 studies met selection criteria.The MOOSE guidelines were used for data abstraction and assessing data quality and validity. Two investigators abstracted data using a standard form. Studies were grouped into epochs by median data collection year (1975 to 1990, 1990 to 2000, 2000 to 2010, and 2010 to 2020). Data were pooled using a bivariate mixed-effects model.The primary outcome was accuracy of FNB for diagnosis of malignancy. Accuracy was hypothesized to increase in later time periods, a hypothesis formulated prior to data collection.Of 16 597 included patients, 12 974 (79.2%) were female, and the mean (SD) age was 47.3 (12.9) years. The sensitivity of FNB was 85.6% (95% CI, 79.9-89.5), the specificity was 71.4% (95% CI, 61.1-79.8), the positive likelihood ratio was 3.0 (95% CI, 2.3-4.1), and the negative likelihood ratio was 0.2 (95% CI, 0.2-0.3). The area under the receiver operating characteristic curve was 86.1%. Epoch was not significantly associated with accuracy. None of the available covariates could explain observed heterogeneity.Accuracy of thyroid FNB has not significantly changed over time. Important developments in technique, preparation, and interpretation may have occurred too heterogeneously to capture a consistent uptrend over time. FNB remains a reliable test for thyroid cancer diagnosis.
Tripartite antigen-agnostic combination immunotherapy cures established poorly immunogenic tumors
Authors: Sven Borchmann, Carolin Selenz, Mia Lohmann, Hanna Ludwig, Asmae Gassa, Johannes Brägelmann, Philipp Lohneis, Lydia Meder, Julia Mattlener, Sara Breid, Marieke Nill, Jana Fassunke, Amy J. Wisdom, Anik Compes, Birgit Gathof, Hakan Alakus, David Kirsch, Khosro Hekmat, Reinhard Büttner, H. Christian Reinhardt, Michael Hallek, Roland T. Ullrich
Journal: Journal for ImmunoTherapy of Cancer (2022)

Background Single-agent immunotherapy has shown remarkable efficacy in selected cancer entities and individual patients. However, most patients fail to respond. This is likely due to diverse immunosuppressive mechanisms acting in a concerted way to suppress the host anti-tumor immune response. Combination immunotherapy approaches that are effective in such poorly immunogenic tumors mostly rely on precise knowledge of antigenic determinants on tumor cells. Creating an antigen-agnostic combination immunotherapy that is effective in poorly immunogenic tumors for which an antigenic determinant is not known is a major challenge. Methods We use multiple cell line and poorly immunogenic syngeneic, autochthonous, and autologous mouse models to evaluate the efficacy of a novel combination immunotherapy named tripartite immunotherapy (TRI-IT). To elucidate TRI-ITs mechanism of action we use immune cell depletions and comprehensive tumor and immune infiltrate characterization by flow cytometry, RNA sequencing and diverse functional assays. Results We show that combined adoptive cellular therapy (ACT) with lymphokine-activated killer cells, cytokine-induced killer cells, Vγ9Vδ2-T-cells (γδ-T-cells) and T-cells enriched for tumor recognition (CTLs) display synergistic antitumor effects, which are further enhanced by cotreatment with anti-PD1 antibodies. Most strikingly, the full TRI-IT protocol, a combination of this ACT with anti-PD1 antibodies, local immunotherapy of agonists against toll-like receptor 3, 7 and 9 and pre-ACT lymphodepletion, eradicates and induces durable anti-tumor immunity in a variety of poorly immunogenic syngeneic, autochthonous, as well as autologous humanized patient-derived models. Mechanistically, we show that TRI-IT coactivates adaptive cellular and humoral, as well as innate antitumor immune responses to mediate its antitumor effect without inducing off-target toxicity. Conclusions Overall, TRI-IT is a novel, highly effective, antigen-agnostic, non-toxic combination immunotherapy. In this study, comprehensive insights into its preclinical efficacy, even in poorly immunogenic tumors, and mode of action are given, so that translation into clinical trials is the next step.
The HUNT study: A population-based cohort for genetic research
Authors: Ben M. Brumpton, Sarah Graham, Ida Surakka, Anne Heidi Skogholt, Mari Løset, Lars G. Fritsche, Brooke Wolford, Wei Zhou, Jonas Bille Nielsen, Oddgeir L. Holmen, Maiken E. Gabrielsen, Laurent Thomas, Laxmi Bhatta, Humaira Rasheed, He Zhang, Hyun Min Kang, Whitney Hornsby, Marta Riise Moksnes, Eivind Coward, Mads Melbye, Guro F. Giskeødegård, Jørn Fenstad, Steinar Krokstad, Marit Næss, Arnulf Langhammer, Michael Boehnke, Gonçalo R. Abecasis, Bjørn Olav Åsvold, Kristian Hveem, Cristen J. Willer
Journal: Cell Genomics (2022)
Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease
Authors: Wei Zhou, Masahiro Kanai, Kuan-Han H. Wu, Humaira Rasheed, Kristin Tsuo, Jibril B. Hirbo, Ying Wang, Arjun Bhattacharya, Huiling Zhao, Shinichi Namba, Ida Surakka, Brooke N. Wolford, Valeria Lo Faro, Esteban A. Lopera-Maya, Kristi Läll, Marie-Julie Favé, Juulia J. Partanen, Sinéad B. Chapman, Juha Karjalainen, Mitja Kurki, Mutaamba Maasha, Ben M. Brumpton, Sameer Chavan, Tzu-Ting Chen, Michelle Daya, Yi Ding, Yen-Chen A. Feng, Lindsay A. Guare, Christopher R. Gignoux, Sarah E. Graham, Whitney E. Hornsby, Nathan Ingold, Said I. Ismail, Ruth Johnson, Triin Laisk, Kuang Lin, Jun Lv, Iona Y. Millwood, Sonia Moreno-Grau, Kisung Nam, Priit Palta, Anita Pandit, Michael H. Preuss, Chadi Saad, Shefali Setia-Verma, Unnur Thorsteinsdottir, Jasmina Uzunovic, Anurag Verma, Matthew Zawistowski, Xue Zhong, Nahla Afifi, Kawthar M. Al-Dabhani, Asma Al Thani, Yuki Bradford, Archie Campbell, Kristy Crooks, Geertruida H. de Bock, Scott M. Damrauer, Nicholas J. Douville, Sarah Finer, Lars G. Fritsche, Eleni Fthenou, Gilberto Gonzalez-Arroyo, Christopher J. Griffiths, Yu Guo, Karen A. Hunt, Alexander Ioannidis, Nomdo M. Jansonius, Takahiro Konuma, Ming Ta Michael Lee, Arturo Lopez-Pineda, Yuta Matsuda, Riccardo E. Marioni, Babak Moatamed, Marco A. Nava-Aguilar, Kensuke Numakura, Snehal Patil, Nicholas Rafaels, Anne Richmond, Agustin Rojas-Muñoz, Jonathan A. Shortt, Peter Straub, Ran Tao, Brett Vanderwerff, Manvi Vernekar, Yogasudha Veturi, Kathleen C. Barnes, Marike Boezen, Zhengming Chen, Chia-Yen Chen, Judy Cho, George Davey Smith, Hilary K. Finucane, Lude Franke, Eric R. Gamazon, Andrea Ganna, Tom R. Gaunt, Tian Ge, Hailiang Huang, Jennifer Huffman, Nicholas Katsanis, Jukka T. Koskela, Clara Lajonchere, Matthew H. Law, Liming Li, Cecilia M. Lindgren, Ruth J.F. Loos, Stuart MacGregor, Koichi Matsuda, Catherine M. Olsen, David J. Porteous, Jordan A. Shavit, Harold Snieder, Tomohiro Takano, Richard C. Trembath, Judith M. Vonk, David C. Whiteman, Stephen J. Wicks, Cisca Wijmenga, John Wright, Jie Zheng, Xiang Zhou, Philip Awadalla, Michael Boehnke, Carlos D. Bustamante, Nancy J. Cox, Segun Fatumo, Daniel H. Geschwind, Caroline Hayward, Kristian Hveem, Eimear E. Kenny, Seunggeun Lee, Yen-Feng Lin, Hamdi Mbarek, Reedik Mägi, Hilary C. Martin, Sarah E. Medland, Yukinori Okada, Aarno V. Palotie, Bogdan Pasaniuc, Daniel J. Rader, Marylyn D. Ritchie, Serena Sanna, Jordan W. Smoller, Kari Stefansson, David A. van Heel, Robin G. Walters, Sebastian Zöllner, Alicia R. Martin, Cristen J. Willer, Mark J. Daly, Benjamin M. Neale
Journal: Cell Genomics (2022)
Gut microbiome dysbiosis contributes to abdominal aortic aneurysm by promoting neutrophil extracellular trap formation
Authors: Zhenyu Tian, Yun Zhang, Zhijian Zheng, Meng Zhang, Tao Zhang, Jiajia Jin, Xinjie Zhang, Guixiang Yao, Danxia Kong, Cheng Zhang, Zhe Wang, Qunye Zhang
Journal: Cell Host & Microbe (2022)
A practical guideline of genomics-driven drug discovery in the era of global biobank meta-analysis
Authors: Shinichi Namba, Takahiro Konuma, Kuan-Han Wu, Wei Zhou, Yukinori Okada
Journal: Cell Genomics (2022)

Genomics-driven drug discovery is indispensable for accelerating the development of novel therapeutic targets. However, the drug discovery framework based on evidence from genome-wide association studies (GWASs) has not been established, especially for cross-population GWAS meta-analysis. Here, we introduce a practical guideline for genomics-driven drug discovery for cross-population meta-analysis, as lessons from the Global Biobank Meta-analysis Initiative (GBMI). Our drug discovery framework encompassed three methodologies and was applied to the 13 common diseases targeted by GBMI (
Alzheimer’s disease-associated U1 snRNP splicing dysfunction causes neuronal hyperexcitability and cognitive impairment
Authors: Ping-Chung Chen, Xian Han, Timothy I. Shaw, Yingxue Fu, Huan Sun, Mingming Niu, Zhen Wang, Yun Jiao, Brett J. W. Teubner, Donnie Eddins, Lauren N. Beloate, Bing Bai, Joseph Mertz, Yuxin Li, Ji-Hoon Cho, Xusheng Wang, Zhiping Wu, Danting Liu, Suresh Poudel, Zuo-Fei Yuan, Ariana Mancieri, Jonathan Low, Hyeong-Min Lee, Mary H. Patton, Laurie R. Earls, Elizabeth Stewart, Peter Vogel, Yawei Hui, Shibiao Wan, David A. Bennett, Geidy E. Serrano, Thomas G. Beach, Michael A. Dyer, Richard J. Smeyne, Tudor Moldoveanu, Taosheng Chen, Gang Wu, Stanislav S. Zakharenko, Gang Yu, Junmin Peng
Journal: Nature Aging (2022)
Best practices for multi-ancestry, meta-analytic transcriptome-wide association studies: Lessons from the Global Biobank Meta-analysis Initiative
Authors: Arjun Bhattacharya, Jibril B. Hirbo, Dan Zhou, Wei Zhou, Jie Zheng, Masahiro Kanai, Bogdan Pasaniuc, Eric R. Gamazon, Nancy J. Cox
Journal: Cell Genomics (2022)

The Global Biobank Meta-analysis Initiative (GBMI), through its diversity, provides a valuable opportunity to study population-wide and ancestry-specific genetic associations. However, with multiple ascertainment strategies and multi-ancestry study populations across biobanks, GBMI presents unique challenges in implementing statistical genetics methods. Transcriptome-wide association studies (TWASs) boost detection power for and provide biological context to genetic associations by integrating genetic variant-to-trait associations from genome-wide association studies (GWASs) with predictive models of gene expression. TWASs present unique challenges beyond GWASs, especially in a multi-biobank, meta-analytic setting. Here, we present the GBMI TWAS pipeline, outlining practical considerations for ancestry and tissue specificity, meta-analytic strategies, and open challenges at every step of the framework. We advise conducting ancestry-stratified TWASs using ancestry-specific expression models and meta-analyzing results using inverse-variance weighting, showing the least test statistic inflation. Our work provides a foundation for adding transcriptomic context to biobank-linked GWASs, allowing for ancestry-aware discovery to accelerate genomic medicine.
Associations of the skin, oral and gut microbiome with aging, frailty and infection risk reservoirs in older adults
Authors: Peter J. Larson, Wei Zhou, Alba Santiago, Sarah Driscoll, Elizabeth Fleming, Anita Y. Voigt, Ock K. Chun, James J. Grady, George A. Kuchel, Julie T. Robison, Julia Oh
Journal: Nature Aging (2022)
Translational gaps and opportunities for medical wearables in digital health
Authors: Shuai Xu, Joohee Kim, Jessica R. Walter, Roozbeh Ghaffari, John A. Rogers
Journal: Science Translational Medicine (2022)

A confluence of advances in biosensor technologies, enhancements in health care delivery mechanisms, and improvements in machine learning, together with an increased awareness of remote patient monitoring, has accelerated the impact of digital health across nearly every medical discipline. Medical grade wearables—noninvasive, on-body sensors operating with clinical accuracy—will play an increasingly central role in medicine by providing continuous, cost-effective measurement and interpretation of physiological data relevant to patient status and disease trajectory, both inside and outside of established health care settings. Here, we review current digital health technologies and highlight critical gaps to clinical translation and adoption.
CNS Involvement at Initial Diagnosis and Risk of Relapse After Allogeneic HCT for Acute Lymphoblastic Leukemia in First Complete Remission
Authors: Mohamed A. Kharfan-Dabaja, Myriam Labopin, Ali Bazarbachi, Urpu Salmenniemi, Stephan Mielke, Patrice Chevallier, Marie Thérèse Rubio, Marie Balsat, Pietro Pioltelli, Anne-Lise Menard, Gerard Socié, Anne Huynh, Nicolaas Schaap, Arancha Bermúdez Rodríguez, Jan J. Cornelissen, Ibrahim Yakoub-Agha, Mahmoud Aljurf, Sebastian Giebel, Eolia Brissot, Zina Peric, Arnon Nagler, Mohamad Mohty
Journal: HemaSphere (2022)

Outcomes of allogeneic hematopoietic cell transplantation (allo-HCT) for adult acute lymphoblastic leukemia (ALL) have improved over time. Studies have shown that total body irradiation (TBI) is the preferable type of myeloablative conditioning (MAC). However, outcomes based on central nervous system (CNS) involvement, namely CNS-positive versus CNS-negative, have not been compared. Here, we evaluated outcomes of 547 patients (CNS-positive = 96, CNS-negative = 451) who were allografted in the first complete remission (CR1) between 2009 and 2019. Primary endpoint was leukemia-free survival (LFS). Median follow-up was not different between the CNS-positive and CNS-negative groups (79 versus 67.2 months, P = 0.58). The CNS-positive group were younger (median age 31.3 versus 39.7 years, P = 0.004) and were allografted more recently (median year 2012 versus 2010, P = 0.003). In both groups, MAC was the preferred approach (82.3% versus 85.6%, P = 0.41). On multivariate analysis, the CNS-positive group had higher incidence of relapse (RI) (hazard ratio [HR] = 1.58 [95% confidence interval (CI) = 1.06-2.35], P = 0.025), but no adverse effect on LFS (HR = 1.38 [95% CI = 0.99-1.92], P = 0.057) or overall survival (OS) (HR = 1.28 [95% CI = 0.89-1.85], P = 0.18). A subgroup multivariate analysis limited to CNS-positive patients showed that a TBI-based MAC regimen resulted in better LFS (HR = 0.43 [95% CI = 0.22-0.83], P = 0.01) and OS (HR = 0.44 [95% CI = 0.21-0.92], P = 0.03) and lower RI (HR = 0.35 [95% CI = 0.15-0.79], P = 0.01). Another subgroup analysis in CNS-negative patients showed that MAC-TBI preparative regimens also showed a lower RI without a benefit in LFS or OS. While a MAC-TBI allo-HCT regimen may not be suitable to all, particularly for older patients with comorbidities, this approach should be considered for patients who are deemed fit and able to tolerate.
3D-bioprinted human tissue and the path toward clinical translation
Authors: Jacqueline M. Bliley, Daniel J. Shiwarski, Adam W. Feinberg
Journal: Science Translational Medicine (2022)

Three-dimensional (3D) bioprinting is a transformative technology for engineering tissues for disease modeling and drug screening and building tissues and organs for repair, regeneration, and replacement. In this Viewpoint, we discuss technological advances in 3D bioprinting, key remaining challenges, and essential milestones toward clinical translation.
In-line miniature 3D-printed pressure-cycled ventilator maintains respiratory homeostasis in swine with induced acute pulmonary injury
Authors: William F. Pritchard, John W. Karanian, Chris Jung, Ivane Bakhutashvili, Sheridan L. Reed, Matthew F. Starost, Brian R. Froelke, Teresa R. Barnes, Duncan Stevenson, Artemio Mendoza, David J. Eckstein, Bradford J. Wood, Brian K. Walsh, Andrew J. Mannes
Journal: Science Translational Medicine (2022)

The COVID-19 pandemic demonstrated the need for inexpensive, easy-to-use, rapidly mass-produced resuscitation devices that could be quickly distributed in areas of critical need. In-line miniature ventilators based on principles of fluidics ventilate patients by automatically oscillating between forced inspiration and assisted expiration as airway pressure changes, requiring only a continuous supply of pressurized oxygen. Here, we designed three miniature ventilator models to operate in specific pressure ranges along a continuum of clinical lung injury (mild, moderate, and severe injury). Three-dimensional (3D)–printed prototype devices evaluated in a lung simulator generated airway pressures, tidal volumes, and minute ventilation within the targeted range for the state of lung disease each was designed to support. In testing in domestic swine before and after induction of pulmonary injury, the ventilators for mild and moderate injury met the design criteria when matched with the appropriate degree of lung injury. Although the ventilator for severe injury provided the specified design pressures, respiratory rate was elevated with reduced minute ventilation, a result of lung compliance below design parameters. Respiratory rate reflected how well each ventilator matched the injury state of the lungs and could guide selection of ventilator models in clinical use. This simple device could help mitigate shortages of conventional ventilators during pandemics and other disasters requiring rapid access to advanced airway management, or in transport applications for hands-free ventilation.